Daisuke Okamoto
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hepatology 24
- Hepatocellular Carcinoma Treatment and Prognosis 23
- Surgery 22
- Cholangiocarcinoma and Gallbladder Cancer Studies 5
- Organ Transplantation Techniques and Outcomes 3
- Co-authors
- Akihiro Nishie (54 shared papers)Hiroshi Honda (52 shared papers)Kousei Ishigami (60 shared papers)Yoshiki Asayama (43 shared papers)Yasuhiro Ushijima (55 shared papers)Nobuhiro Fujita (43 shared papers)Yukihisa Takayama (24 shared papers)Tsuyoshi Tajima (26 shared papers)
In The Last Decade
Daisuke Okamoto
78 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 156
- Hepatology 517
- Radiology, Nuclear Medicine and Imaging 297
- Epidemiology 267
- Surgery 309
- Oncology 111
Countries citing papers authored by Daisuke Okamoto
This map shows the geographic impact of Daisuke Okamoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daisuke Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Okamoto more than expected).
Fields of papers citing papers by Daisuke Okamoto
This network shows the impact of papers produced by Daisuke Okamoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daisuke Okamoto. The network helps show where Daisuke Okamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Okamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 274 | |
| 2 | 2008 | 159 | |
| 3 | 2010 | 113 | |
| 4 | 2016 | 87 | |
| 5 | 2017 | 70 | |
| 6 | 2012 | 69 | |
| 7 | 2007 | 60 | |
| 8 | 2011 | 53 | |
| 9 | 2016 | 52 | |
| 10 | 2014 | 44 | |
| 11 | 2010 | 43 | |
| 12 | 2009 | 42 | |
| 13 | 2011 | 40 | |
| 14 | 2018 | 40 | |
| 15 | 2018 | 37 | |
| 16 | 2016 | 35 | |
| 17 | 2010 | 34 | |
| 18 | 2018 | 24 | |
| 19 | 2012 | 23 | |
| 20 | 2013 | 22 |
About Daisuke Okamoto
Daisuke Okamoto is a scholar working on Hepatology, Surgery, Pulmonary and Respiratory Medicine, Gastroenterology and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (23 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), MRI in cancer diagnosis (4 papers), Renal cell carcinoma treatment (4 papers), Lanthanide and Transition Metal Complexes (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Inflammatory Bowel Disease (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Hepatology (517 citations), Radiology, Nuclear Medicine and Imaging (297 citations), Epidemiology (267 citations), Surgery (309 citations) and Oncology (111 citations). Daisuke Okamoto has collaborated with scholars based in Japan and Germany. Frequent co-authors include Akihiro Nishie, Hiroshi Honda, Kousei Ishigami, Yoshiki Asayama, Yasuhiro Ushijima, Nobuhiro Fujita, Yukihisa Takayama, Tsuyoshi Tajima, Kengo Yoshimitsu and Akinobu Taketomi. Their work appears in journals such as European Journal of Radiology, Journal of Magnetic Resonance Imaging, Abdominal Radiology, Magnetic Resonance Imaging and Acta Radiologica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.